open-source

Llama 4 Scout 17b 16e Instruct vs Deepseek Chat

Side-by-side pricing, context window, features, and per-use-case verdict. Data sourced from LiteLLM, updated regularly.

Specifications

Feature Llama 4 Scout 17b 16e Instruct Deepseek Chat
Provider groq deepseek
Model ID groq/meta-llama/llama-4-scout-17b-16e-instruct deepseek/deepseek-chat
Input / 1M tokens $0.11 (61% cheaper) $0.28
Output / 1M tokens $0.34 (19% cheaper) $0.42
Cached input / 1M $0.03
Context window 131kk tokens 131kk tokens
Max output 8kk tokens 8kk tokens
Vision
Function calling
Prompt caching
Web search
JSON schema

Monthly cost comparison

No cache discount applied — pure token costs at three usage scales.

Scale Llama 4 Scout 17b 16e Instruct Deepseek Chat Winner
Small
1M in / 0.2M out
$0.18 $0.36 Llama 4 Scout 17b 16e Instruct saves 51%
Medium
10M in / 2M out
$1.78 $3.64 Llama 4 Scout 17b 16e Instruct saves 51%
Large
100M in / 20M out
$17.80 $36.40 Llama 4 Scout 17b 16e Instruct saves 51%

Category winners

Cheapest input
Llama 4 Scout 17b 16e Instruct
$0.11/M · 61% less than the other
Cheapest output
Llama 4 Scout 17b 16e Instruct
$0.34/M · 19% less than the other
Larger context
Llama 4 Scout 17b 16e Instruct
131kk tokens
More features
Llama 4 Scout 17b 16e Instruct
3 / 5 capabilities (tied)

Better for…

High-volume RAG & repeated context
$0.03/M cached input — prompt caching makes repeated context retrieval significantly cheaper
Deepseek Chat
Short interactions & high-throughput APIs
$0.34/M output — 19% cheaper on output at scale
Llama 4 Scout 17b 16e Instruct
Cost-sensitive production at scale
$17.80/month at 100M-token scale — 51% cheaper than the alternative
Llama 4 Scout 17b 16e Instruct

Deep-dive on each model

Pricing data sourced from LiteLLM and refreshed regularly. Always verify with each provider's official pricing page before making business decisions.